Machine Learning Engineer

📋 Description

• Build, test, and maintain robust data pipelines for large-scale industrial datasets.
• Assist in deploying data science prototypes to production.
• Write high-quality, testable Python code, primarily creating RESTful/gRPC APIs for ML capabilities.
• Containerize applications (Docker) and navigate Linux to handle massive volumes of unstructured
• Run experiments, fine-tune existing foundational models (NLP, Vision-Language), and evaluate ML
• Write rigorous unit/integration tests and monitor deployed models for drift and performance.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related
• 3–6 years of industry experience in software engineering with a strong focus on machine learning
• Strong programming skills in Python, with a proven ability to write clean, modular, and testable
• Solid hands-on experience with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.
• Experience working with large datasets, writing complex SQL queries, and hands-on familiarity with
• Familiarity with MLOps basics, containerization (Docker), Linux command-line tools, and fundamental